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Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals
2020
PLoS ONE
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We developed an Automated Unsupervised Respiratory Event Analysis (AUREA) to classify breathing patterns obtained with dual belt respiratory inductance plethysmography and a reference using Expectation ...
These findings support the use of AUREA to classify breathing patterns and warrant a future evaluation of clinically relevant respiratory events. ...
Classification of pattern in samples obtained from expectation maximization (EM), AUREA (Automated Unsupervised Respiratory Event Analysis) and individual human scorers (IS). ...
doi:10.1371/journal.pone.0238402
pmid:32915810
fatcat:f3ybph6sa5hwpfxic4rdrazyae
Predictive modeling of respiratory tumor motion for real-time prediction of baseline shifts
2017
Physics in Medicine and Biology
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Baseline shifts in respiratory patterns can result in significant spatiotemporal changes in patient anatomy (compared to that captured during simulation), in turn, causing geometric and dosimetric errors ...
It also confirms the utility of prior data from previous patients, and also the necessity of training the classifier on some initial data from the new patient for reasonable prediction performance. ...
Acknowledgments This work was partially supported through research funding from (i) the National Institutes of Health (R01CA169102); and (ii) the National Science Foundation (NSF) under Grant No. 1012975 ...
doi:10.1088/1361-6560/aa58c3
pmid:28075331
pmcid:PMC5702258
fatcat:xanrrf7thvdzbh2z57s5l7xaty
Automated Screening of Children With Obstructive Sleep Apnea Using Nocturnal Oximetry: An Alternative to Respiratory Polygraphy in Unattended Settings
2017
Journal of Clinical Sleep Medicine (JCSM)
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The diagnostic performance of logistic regression models, manual obstructive apnea-hypopnea index (OAHI) from HRP, and the conventional oxygen desaturation index ≥ 3% (ODI3) were assessed. ...
Logistic regression models were optimized using genetic algorithms (GAs) for three cutoffs for OSA: 1, 3, and 5 events/h. ...
PSD, power spectral density PSG, polysomnography ROC, receiver operating characteristics RP, respiratory polygraphy RPb, signal relative power in the band of interest SampEn, sample entropy SD, standard ...
doi:10.5664/jcsm.6586
pmid:28356177
pmcid:PMC5406958
fatcat:wgqsb3inlfhmpc2zenqi2rr5z4
Oximetry use in obstructive sleep apnea
2018
Expert Review of Respiratory Medicine
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From visual inspection to advanced signal processing, several studies have demonstrated the usefulness of oximetry as a screening tool. ...
Currently, high-resolution portable devices combined with pattern recognitionbased applications are able to achieve high performance in the detection this disease. ...
On the other hand, focusing on the use of oximetry alone, important limitations arise when comprehensive respiratory analyses are needed. ...
doi:10.1080/17476348.2018.1495563
pmid:29972344
fatcat:l6tdd5uijrf3bi4inxmfjhwgay
Unsupervised classification of operator workload from brain signals
2016
Journal of Neural Engineering
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Our analyses ensured that the signal sources used for classification were of cortical origin and not contaminated with artifacts. ...
In this study we aimed for the classification of operator workload as it is expected in many real-life workplace environments. ...
Those four electrodes were excluded from all subsequent analyses. ...
doi:10.1088/1741-2560/13/3/036008
pmid:27078889
fatcat:apr7ee4skvek7k6qdfbic677ie
Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers
2020
Croatian Medical Journal
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For example, data from Phase 4 can be used to model various labels emerging from Phases 1 and 2, such as estimation of objective stressor severity, available from Phase 1; or classification of high vs ...
When considering labeled data, the main aim of supervised ML, as opposed to statistical methods, is the maximization of classification/prediction accuracy, while sacrificing model explainability and rigorous ...
pmid:32643346
pmcid:PMC7358693
fatcat:zdha3nib6fenvl3vmk6knpkgsm
Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets
[chapter]
2014
Lecture Notes in Computer Science
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We derived a principled analysis of confidence impact on classification. ...
To achieve this, intensity and texture-based local image features are computed and random forests are used for classification. ...
The aim of the current work was to analyse the feasibility of classification using solely image-based features on complex multi-modal data. ...
doi:10.1007/978-3-319-13972-2_14
fatcat:6qtu7hvcpbcgvhdsrv5hv7r7ga
Cardiopulmonary Exercise Testing in the Assessment of Dysfunctional Breathing
2021
Frontiers in Physiology
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We have provided guidance on how CPET can be used for diagnosis, including consideration of pattern recognition and use of specific data panels. ...
., predominant breathing pattern disorder or acute or chronic hyperventilation. ...
AUTHOR CONTRIBUTIONS MI was primary author and was responsible for planning and putting together the first draft of the manuscript. MI, SM-B, LD-C, and CP contributed sections of the manuscript. ...
doi:10.3389/fphys.2020.620955
pmid:33584339
pmcid:PMC7873943
fatcat:zzjfa3ihmzfttnet5anpo7pjem
Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony
2018
Methods of Information in Medicine
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We examined the use of synthetic minority over-sampling technique (SMOTE) to overcome class imbalance problems, varied methods for feature selection, and use of ensemble methods to optimize the performance ...
Methods: Using a dataset of breaths recorded from 35 different patients, we used machine learning to create computational models to automatically detect, and classify two types of injurious PVA, double ...
on a provisional patent (62/420,943) related to the use of these and other algorithms to detect PVA in clinical application. ...
doi:10.3414/me17-02-0012
fatcat:u52w4tnss5hanf4obqlavafa7q
Artifact rejection and cycle detection in immature breathing: Application to the early detection of neonatal sepsis
2015
Biomedical Signal Processing and Control
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This paper proposes a new framework to obtain quality respiratory variability signals from the raw breathing recorded in neonatal intensive care units (NICUs). ...
By means of a gold standard built from a preterm infants database, the performances of the first and third blocks have been evaluated. ...
Acknowledgment The authors would like to thank the clinicians from the Pôle Médico-Chirurgical de Pédiatrie et de Génétique Clinique of the CHU of Rennes for their large involvement in this study. ...
doi:10.1016/j.bspc.2014.10.007
fatcat:jqxberhdwzdwrjxe7o3pdbfiiy
The six-gene expression signature in whole sampled sputum provides clinically feasible inflammatory phenotyping of asthma
2020
ERJ Open Research
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using manual plug selection. ...
, to the conventional method of manual plug selection.Two separate sputum samples were collected from 27 patients with asthma; one processed as a whole sample in an Oragene-RNA RE 100 vial and one processed ...
Classification of inflammation using gene expression was calculated from the multiple logistic regression models, where the optimal cut-off point for each ROC curve was calculated. ...
doi:10.1183/23120541.00280-2019
pmid:32166086
pmcid:PMC7061201
fatcat:p7e7zjn72rdkfbijvr2ouuotsm
Defining Insomnia: Quantitative Criteria for Insomnia Severity and Frequency
2006
Sleep
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Use of this cutoff resulted in correct classification of 81.3% of the sample. ...
Use of this cutoff resulted in the correct classification of 86.6% of the entire study sample. ...
doi:10.1093/sleep/29.4.479
pmid:16676781
fatcat:j5uxli56prdabecw6zmrdl7sie
Physical therapy treatment time during inpatient spinal cord injury rehabilitation
2011
Journal of Spinal Cord Medicine (JSCM)
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Details about services provided, including time spent, will serve as a starting point in detailing the optimal treatment delivery for maximal outcomes. ...
Methods: Six hundred patients from six inpatient SCI centers were enrolled in the SCIRehab study. ...
Acknowledgements The contents of this paper were developed under grants from the National Institute on Disability and Rehabilitation Research, Office of Rehabilitative Services, US Department of Education ...
doi:10.1179/107902611x12971826988057
pmid:21675354
pmcid:PMC3066500
fatcat:gtdz33ti2zgi3l3dkex5b7ifa4
Data-driven classification of ventilated lung tissues using electrical impedance tomography
2011
Physiological Measurement
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In this article, we propose a novel application of a data-driven classification method to identify ventilated lung ROI based on forming k clusters from pixels with correlated signals. ...
When testing for changes from baseline in lung position, tidal volume, and respiratory system compliance, we found that PEEP displaced the ventilated lung region dorsally by 2 cm, decreased tidal volume ...
Acknowledgments This work was supported by the Natural Sciences and Engineering Council of Canada and the Heart and Stroke Foundation Centre for Stroke Recovery. ...
doi:10.1088/0967-3334/32/7/s13
pmid:21646699
fatcat:nifw2pgpsndjpgw6ve67b45wam
Analyses of Heart Rate, Respiration and Cardiorespiratory Coupling in Patients with Schizophrenia
2015
Entropy
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CRC analyses revealed a clear coupling, with a driver-responder relationship from respiration to heart rate in SZ patients. ...
Moreover, a slight driver-responder relationship from heart rate to respiration could be recognized. ...
Acknowledgments This work was partially supported using grants from the Thuringian Ministry of Economy, Labor and Technology and European fund for regional development (EFRE) 2014KN0018 and by grants from ...
doi:10.3390/e17020483
fatcat:unyqcaxee5gs3oux2n5iroaxc4
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